metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: lltransformer-linear-test1
results: []
lltransformer-linear-test1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.3793
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0006
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1234
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.8532 | 0.0320 | 100 | 6.7483 |
| 6.1754 | 0.0640 | 200 | 6.1243 |
| 5.8756 | 0.0959 | 300 | 5.7804 |
| 5.5348 | 0.1279 | 400 | 5.5261 |
| 5.2918 | 0.1599 | 500 | 5.3721 |
| 5.329 | 0.1919 | 600 | 5.2467 |
| 5.0479 | 0.2239 | 700 | 5.1346 |
| 5.0769 | 0.2559 | 800 | 5.0477 |
| 4.9082 | 0.2878 | 900 | 4.9726 |
| 4.8851 | 0.3198 | 1000 | 4.9025 |
| 4.8578 | 0.3518 | 1100 | 4.8424 |
| 4.7683 | 0.3838 | 1200 | 4.7891 |
| 4.7845 | 0.4158 | 1300 | 4.7421 |
| 4.7651 | 0.4477 | 1400 | 4.6986 |
| 4.6101 | 0.4797 | 1500 | 4.6589 |
| 4.5814 | 0.5117 | 1600 | 4.6180 |
| 4.5607 | 0.5437 | 1700 | 4.5858 |
| 4.62 | 0.5757 | 1800 | 4.5545 |
| 4.4465 | 0.6076 | 1900 | 4.5254 |
| 4.5038 | 0.6396 | 2000 | 4.5018 |
| 4.4746 | 0.6716 | 2100 | 4.4765 |
| 4.4328 | 0.7036 | 2200 | 4.4544 |
| 4.4182 | 0.7356 | 2300 | 4.4368 |
| 4.4987 | 0.7676 | 2400 | 4.4215 |
| 4.4017 | 0.7995 | 2500 | 4.4085 |
| 4.4284 | 0.8315 | 2600 | 4.3983 |
| 4.3105 | 0.8635 | 2700 | 4.3901 |
| 4.2949 | 0.8955 | 2800 | 4.3846 |
| 4.3673 | 0.9275 | 2900 | 4.3812 |
| 4.3048 | 0.9594 | 3000 | 4.3796 |
| 4.4036 | 0.9914 | 3100 | 4.3793 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1